Modern data analysis technology at the Revenue Administration Regional Office in Łódź as a chance to tighten up the Polish tax system and increase the stability of EU finances.

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The National Revenue Administration (KAS) is established and equipped by the legislator with specific tools and abilities to combat fraud and extortion most of which is international by nature, as the financial losses caused by illegal activity occur in the budgets of various EU countries. The National Revenue Administration incorporates the Revenue Administration Regional Office in Lodz (IAS in Lodz), which, through the activities of the Customs and Tax Office in Lodz (LUCS in Lodz), recognizes, detects and combats customs and fiscal crimes, especially those committed by organized criminal groups. The National Revenue Administration is constantly developing in the area of new technologies, as it is the only way it can continue to effectively ensure the stability of public finances. KAS is strictly focused on innovation and in-depth, science-based analysis within KAS, starting from direct contact with taxpayers through the verification of the correctness of the fulfillment of tax obligations. This makes it possible to tighten up the tax system more and more effectively, but just as importantly, to reduce the oppressiveness of the tax administration towards honest taxpayers. In order for all these procedures take effects in an efficient and effective manner, the analysts of the National Revenue Administration should have at their disposal the most modern, highly efficient computer equipment, allowing them to operate, process and deal with huge amounts of data files in a relatively short period of time, both during stationary activities and while working outside. In addition, a group of analysts equipped with the aforementioned equipment, as part of the project, would be trained on the functionality of KNIME - a freely available platform designed for integration, interactive data analysis and reporting, enabling the integration of a wide variety of components and data mining. New analytical capabilities will uncover criminals' relationships and assets.